BloodSamples: Serum Protein Composition in Blood Samples

In DirichletReg: Dirichlet Regression

Description

These data (Aitchison, 2003) list blood samples' compositions of Albumin, Pre-Albumin, Globulin A, and Globulin B in relation to two types of diseases. 14 patients suffer from disease A, 16 from disease B and 6 are unclassified.

Usage

BloodSamples

Format

A data frame with 36 observations on the following 6 variables.

Albumin, Pre.Albumin, Globulin.A, Globulin.B

the amounts of Albumin, Pre-Albumin, Globulin A, and Globulin B.

Disease

diagnosis of disease A, B, or NA for unclassified observations.

New

a factor indicating whether the observations are old and classified (No) or new and unclassified (Yes).

Source

Aitchison, J. (2003). The Statistical Analysis of Compositional Data. The Blackburn Press, Caldwell, NJ.

Examples

head(BloodSamples)
Bl <- DR_data(BloodSamples[,1:4])
summary(Bl)

Example output

Loading required package: Formula
Loading required package: rgl
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 
   Albumin Pre.Albumin Globulin.A Globulin.B Disease New
A1   0.348       0.197      0.201      0.254       A  No
A2   0.386       0.239      0.141      0.242       A  No
A3   0.471       0.240      0.089      0.200       A  No
A4   0.427       0.245      0.111      0.217       A  No
A5   0.346       0.230      0.204      0.219       A  No
A6   0.485       0.231      0.101      0.183       A  No
Warning in DR_data(BloodSamples[, 1:4]) :
  not all rows sum up to 1 => normalization forced
This object contains compositional data with 4 dimensions.
Number of observations: 36 of which 36 ( 100% ) are valid.

Note: The data were normalized.

DirichletReg documentation built on May 18, 2021, 5:06 p.m.